Future changes in rice yields over the Mekong River Delta due to climate change-Alarming or alerting?

被引:20
作者
Jiang, Ze [1 ]
Raghavan, Srivatsan V. [1 ]
Hur, Jina [1 ]
Sun, Yabin [1 ]
Liong, Shie-Yui [1 ,2 ]
Van Qui Nguyen [3 ]
Tri Van Pham Dang [4 ]
机构
[1] Natl Univ Singapore, Trop Marine Sci Inst, 18 Kent Ridge Rd, Singapore 119227, Singapore
[2] Willis Towers Watson, 51 Lime St, London, England
[3] Can Tho Univ, Coll Agr & Appl Biol, 3 Thang 2 St, Ninh Kieu Dist, Can Tho, Vietnam
[4] Can Tho Univ, Coll Environm & Nat Resources, 3 Thang 2 St, Ninh Kieu Dist, Can Tho, Vietnam
基金
新加坡国家研究基金会;
关键词
Rice; Crop productivity; Climate change; Food security; Adaptation; CROPPING SYSTEM; PART I; MODEL; IMPACTS;
D O I
10.1007/s00704-018-2617-z
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The crop simulation model Decision Support System for Agrotechnology Transfer (DSSAT) was applied over the Mekong River Delta (MRD), Southern Vietnam, to assess future (2020-2050) impacts of climate change on rice production. The DSSAT model was driven using observed station data and projected climate data derived through the dynamical downscaling of three global climate models (GCMs) using the Weather Research and Forecasting (WRF) model. The WRF model was simulated at a spatial resolution of 30km over the study region, and the large-scale driving fields for future climates were taken from the Coupled Model Inter-Comparison Project Phase 3 (CMIP3) global models ECHAM5, CCSM3, and MIROC5 under the A2 emission scenario. Rice growth during two main seasons, namely, the winter-spring (winter) and summer-autumn (summer), were selected to quantify impacts under both irrigated and rain-fed rice cultivation. The results from this climate-crop study suggest that under rain-fed conditions, winter rice yield was likely to experience nearly 24% reduction while summer rice yield was projected to decrease by about 49%. Without irrigation, the annual rice yield was projected to decrease by about 36.5%, and under irrigated conditions, climate change is likely to reduce annual irrigated rice yields by about 1.78%. Winter rice yield was likely to decrease by 4.7% while summer rice yield was projected to marginally increase by about 0.68%. Increasing temperatures and seasonal variations of precipitation are likely to significantly reduce rice yields under rain-fed condition. In addition, (1) a decrease (increase) in the number of rainy days during the dry (wet) season and (2) positive effects of elevated CO2 for rain-fed rice growth under each of the three WRF model realizations would markedly influence rice yields. With Vietnam being one of the largest exporters of rice, these findings have serious implications for the local agricultural sector. This also serves an early warning for the policymakers and stakeholders for effective planning of not only crop production but also water resource management. The findings call for prudent diversification strategy planning by those countries which import rice.
引用
收藏
页码:545 / 555
页数:11
相关论文
共 37 条
[1]  
[Anonymous], 2009, THESIS FACULTY U GEO
[2]   Global wheat production potentials and management flexibility under the representative concentration pathways [J].
Balkovic, Juraj ;
van der Velde, Marijn ;
Skalsky, Rastislav ;
Xiong, Wei ;
Folberth, Christian ;
Khabarov, Nikolay ;
Smirnov, Alexey ;
Mueller, Nathaniel D. ;
Obersteiner, Michael .
GLOBAL AND PLANETARY CHANGE, 2014, 122 :107-121
[3]   Design and optimisation of a large-area process-based model for annual crops [J].
Challinor, AJ ;
Wheeler, TR ;
Craufurd, PQ ;
Slingo, JM ;
Grimes, DIF .
AGRICULTURAL AND FOREST METEOROLOGY, 2004, 124 (1-2) :99-120
[4]   Progressive and active adaptations of cropping system to climate change in Northeast China [J].
Chen, Changqing ;
Qian, Chunrong ;
Deng, Aixing ;
Zhang, Weijian .
EUROPEAN JOURNAL OF AGRONOMY, 2012, 38 :94-103
[5]  
Chen F, 2001, MON WEATHER REV, V129, P569, DOI 10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO
[6]  
2
[7]   Assessing rice productivity and adaptation strategies for Southeast Asia under climate change through multi-scale crop modeling [J].
Chun, Jong Ahn ;
Li, Sanai ;
Wang, Qingguo ;
Lee, Woo-Seop ;
Lee, Eun-Jeong ;
Horstmann, Nina ;
Park, Hojeong ;
Veasna, Touch ;
Vanndy, Lim ;
Pros, Khok ;
Vang, Seng .
AGRICULTURAL SYSTEMS, 2016, 143 :14-21
[8]   Simulating the effects of climate and agricultural management practices on global crop yield [J].
Deryng, D. ;
Sacks, W. J. ;
Barford, C. C. ;
Ramankutty, N. .
GLOBAL BIOGEOCHEMICAL CYCLES, 2011, 25
[9]   The parallel system for integrating impact models and sectors (pSIMS) [J].
Elliott, Joshua ;
Kelly, David ;
Chryssanthacopoulos, James ;
Glotter, Michael ;
Jhunjhnuwala, Kanika ;
Best, Neil ;
Wilde, Michael ;
Foster, Ian .
ENVIRONMENTAL MODELLING & SOFTWARE, 2014, 62 :509-516
[10]   Scale changes and model linking methods for integrated assessment of agri-environmental systems [J].
Ewert, Frank ;
van Ittersum, Martin K. ;
Heckelei, Thomas ;
Therond, Olivier ;
Bezlepkina, Irina ;
Andersen, Erling .
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2011, 142 (1-2) :6-17